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SAS User Forum 2017: Presentations in all Nordic countries

by SAS Employee GeorgMorsing ‎06-20-2017 06:44 AM - edited ‎06-20-2017 07:06 AM (239 Views)

SAS User Forum was held in the four Nordic countries 24 May to 20 June 2017.

 

If you prefer to only browse presentations per country then use these links:

Presentations
Helsinki
Oslo
Copenhagen
Stockholm

 

In total 102 different presentations. Below the complete list of presentations with links to details about each presentations including PDF and SAS programs. 

Number Title Presenter(s) City
1 SAS-drevne Powerpoints uden SAS Office Tomislav Kajinic & Jingyu She, Danica Pension Copenhagen
2 En praktisk implementering af krypterede password i Nykredit Jesper Michelsen, Nykredit Copenhagen
3 Asiakkuuksien systemaattinen johtaminen ja ohjaaminen eteenpäin elinkaarella Saija Lindfors, S-Pankki Helsinki
4 Datojen yhdistäminen Virpi Virtanen, S-Pankki Helsinki
5 Using Subversion as a change management tool for SAS® code Skúli Geir Jensson & Bjarnsteinn Thorsson, Landsbankinn Copenhagen
6 Få SAS® til at skrive SAS® Steen Rasmussen, Region Hovedstaden Copenhagen
7 WHERE virker (ikke) altid mod en database - hvad gør jeg? Jesper Michelsen, Nykredit Copenhagen
8 Experiences on Incremental Response Modelling Jaakko Riihimäki, Telia Helsinki
9 Agilon-automaattivaraston ennustava huolto, käytännön esimerkki Mikael Björkbom and Sami Terho, Konecranes Helsinki
10 SAS® Metadata Security Journey – prepare to be audited! Michelle Homes, Metacoda Copenhagen
11 Application of discrete event simulation to smart meter deployment Michael Berliner Pedersen, SAS Institute Multiple Cities
12 The SET statement in the DATA Step  Henrik Dorf, SAS Institute Copenhagen
13 To die, or not to die – experiences from competing at a global data science competition. Petri Roine, SAS Institute Multiple Cities
15 The Languages of SAS® Viya – A SAS Programmer’s Primer Amy Peters, SAS Institute Copenhagen
16 SAS Visual Analytics and the New Experience Carl-Olow Magnusson, SAS Institute Multiple Cities
17 Detect, Protect, and Monitor Personal Data Cecily Hoffritz, SAS Institute Multiple Cities
18 Nyheder i SAS® Analytics 14.2 Anders Milhøj, København Universitet Copenhagen
19 Kuluttajaymmärryksen kirkastaminen sijaintitiedolla Matias Andersson, Bisnode Helsinki
20 Building an Analytics Culture Patric Hellgren, SAS Institute Multiple Cities
21 Implementing Role-Based Access Control / Dynamic Separation of Duties Authorization Schema on SAS® P... Perttu Muurimäki, Tilastokeskus Helsinki
22 Online-raportoinnin onnistunut käyttöönotto osana palveluhallintaa Jussi Railakari and Joni-Petteri Paavilainen, Elisa Helsinki
23 Kjør Sas med Klass Kristian Lønø, Statistisk sentralbyrå Oslo
24 Omnichannel digital engagement using SAS® Customer Intelligence 360 Simo Lehtovirta, SAS Institute Helsinki
25 Hvordan kommer du godt i gang med data science i din virksomhed?  Anders Richter, Knowit Decision Danmark A/S Copenhagen
26 Införa IFRS9 i mindre finansiella institut – utmaningar och erfarenheter Klas Björnevik, Björneviks Risk och Finans Oslo
26 Införa IFRS9 i mindre finansiella institut – utmaningar och erfarenheter Klas Björnevik, Björneviks Risk och Finans Stockholm
27 Tilrettelegging av store datagrunnlag for analyse med SAS Scalable Performance Data Engine (SPDE) Steinar Helstrup, Sylinder AS/NorgesGruppen Oslo
28 SAS-Feilkavalkade Viggo Skar, Oslo Universitetssykehus HF Oslo
29 Using SAS® as Migration tool for SAS Modernization Henrik Dorf, SAS Institute Copenhagen
31 DATA-vaiheen ohjelmoijan yleissivistys – helposti unohtuvia asioita Markku Suni, nic.fi Helsinki
32 Using SAS® Text Analytics to Analyze Discussion Forum Data Eero Järviluoma, SAS Institute Helsinki
33 Real-time marketing exploiting state-of-the-art SAS® technologies Mikael Nilsson, SAS Institute Helsinki
34 The Future of SAS® Enterprise GuideTM and SAS Studio Amy Peters, SAS Institute Multiple Cities
35 Arga programmeraren Fredrik Hansson, UCR Stockholm
36 Framåtblickande Risk- och Solvensanalys med SAS som stöd Jakob Ask, lof & Rasmus Hansén, fcg Stockholm
37 Kodeverk: Enklere forvaltning av hierarkier og dimensjoner Knut Arne Harbak, SpareBank 1 SMN & Lars Øyvind Berg, Centric Innovation as Oslo
38 Datadriven digitalisering ur Marknadschefens perspektiv Camilla Arenhäll & Charlotte Söderhjelm, Forefront Consulting Group AB Stockholm
39 Ica Bankens väg till den ”Den intelligenta banken”. Linus Axelsson, ICA Banken Stockholm
41 Finding fraud with analytics Johan Elfman, MER Consulting Multiple Cities
42 Customer Case: BIP - A rapid and agile method used to visualize business needs at AFA Försäkring Fredrik Englund, Infotrek & Anders Åberg, AFA Försäkring Stockholm
43 Dataanalys i jakten på medaljer och hundradelar Per Grosskopf, Ferrologic Analytics Stockholm
45 Will a Robot Approve my Mortgage? Artificial Intelligence Influences Today’s Business Decisions Cristina Conti, SAS Institute Oslo
46 How to identify suspicious warranty claims? Volvo Trucks case study Jadwiga Cletus, Volvo Trucks Stockholm
47 Applied Analytics in Swedish Social Insurance Agency Anders Viseth, Swedish Social Insurance Agency Stockholm
48 Harnessing digital customer-level data for better decision-making using SAS® 360 Discover Mia Patterson-Brennan, SAS Institute Multiple Cities
49 Leveraging embedded analytics to build customer journeys using SAS® 360 Engage Mia Patterson-Brennan, SAS Institute Copenhagen
50 SAS-sovellusten käyttö romutuspalkkiokokeilussa – laskutusaineiston validointi ja kokeilun tulosten ... Halmetoja Antti, Trafi Multiple Cities
51 Streaming iPhone sensor data to SAS® Event Stream Processing Pasi Helenius, SAS Institute Helsinki
52 Maximizing campaign efficiency using MOMA Nicolas Gynild & Anette Baxmann, SAS Institute Copenhagen
53 Use experiments in SAS® Marketing Automation to gain insights into your campaigns Jorge Gonzalez Flores, Nordea Copenhagen
54 The future of the SAS Platform Mike Frost, SAS Institute Multiple Cities
56 Credit Scoring for Banking: Fra datafangst til avgjørelser Ewa Nybakk & Mikkel Brudvik Sanderud, Capgemini Norge AS Oslo
57 Sjømatrådets hjemmeside med integrerte VA-rapporter Are Sivertsen, Norges Sjømatråd Oslo
58 Best practices and things you didn't know you could do with SAS® Visual Analytics Leevi Puumalainen, SAS Institute Helsinki
59 Data can be beautiful: crafting a compelling story with SAS® Visual Analytics Cheryl L. Coyle, SAS Institute Copenhagen
60 Real-time marketing exploiting state-of-the-art SAS® technologies Morten Schrøder & Jan Løwe, SAS Institute Multiple Cities
61 Digital customer relations are not the future. They are what counts just now Øivind Magnussen, SAS Institute Oslo
62 Modeling of Customer Lifetime Value (CLV) – and how to use it Øystein Sørensen, NextBridge Analytics AS Oslo
63 Behaviour score for unsecured loans Kristian Stegenborg, Bisnode Oslo
64 How to flirt a cluster analysis using SAS® Visual Statistics Sara Armandi, SAS Institute Copenhagen
65 Brug af Quality Knowledge Base til at finde og fikse problemer i dine data Ole Steen, SAS Institute Copenhagen
66 Using SAS® Text Analytics within healthcare Christian Hardahl & Christian Jensen, SAS Institute Multiple Cities
67 Audit in SAS using SAS® Environment Manager Rune Bay Nordtorp, SAS Institute Copenhagen
68 The Panama Papers: Using SAS Visual Investigator to gain insights into tax evasion Mads Krogh, SAS Institute Multiple Cities
69 Nyt standardiseret serversetup i SAS®9.4 og governance-struktur for SAS® Data Integration Studio. Ali Chohan & Mikael D. Aagaard, SDC A/S Copenhagen
70 Datadrevet tilgang til fastholdelse af studerende på University College Syddanmark. Hvem er i høj ri... Martin Sørensen, SAS Institute Copenhagen
71 SAS® Infrastructure for Risk Management Thorsten Hein, SAS Institute Helsinki
72 Data Step i SAS® Viya™: Vigtigste nye muligheder Torben Juul Johansson, SAS Institute Copenhagen
73 SAS Visual Analytics erfaringer - Paneldebat Jais Tindborg, TDC, Henrik Obling, Jyske Bank, Ivan Roth, Odense Kommune & Jeppe Deigaard, SAS Institute Copenhagen
74 Design Visual Analytics-rapporter for bedst mulig performance Torben Skov, SAS Institute Copenhagen
75 Rapportdesign hos STAR Daniel Vizel, Styrelsen for Arbejdsmarked og Rekruttering (STAR) Copenhagen
76 Lookup methods in SAS®: Two hidden methods Georg Morsing, SAS Institute Copenhagen
77 News in SAS® 9.4 M4 for SAS Programmers Georg Morsing, SAS Institute Copenhagen
78 Statistisk dataanalyse af EFI-gælden (Et Fælles Inddrivelsessystem) Kaare Brandt Petersen, SAS Institute Copenhagen
79 Fra modeludvikling til deployment – implementering af IFRS 9-projekt hos SDC Peter Brinch, SAS Institute Copenhagen
80 Disaster recovery – har du en plan for dit SAS®-miljø? Thomas Damgaard, SAS Institute Copenhagen
81 Show Off Your OAuth Jon Kolstad, SAS Institute Oslo
82 Using machine learning to predict the price of used cars Michael Sperling, SAS Institute Copenhagen
83 How to call SAS Viya procedures from SAS 9.4 and Seven best practices for Big Data Dashboards in Vis... Trond Holmen, SAS Institute Oslo
84 Hvordan bekæmper Alm. Brand forsikringssvindel med SAS® Fraud Framework for Insurance? Brian Egested, Alm. Brand A/S & Søren Lindhardt Olsen, SAS Institute Copenhagen
85 Presenting modelling approaches in SAS® Viya™ Hans de Wit, Telenor Norway , Richard Horge & Jonas Lie-Nielsen, SAS Institute Oslo
86 SAS® Business Data Network & SAS® Lineage, the hidden treasure of SAS® Data Management Jonas Lie Nielsen, SAS Institue Oslo
87 Making the Best Decisions in Your Data Management Processes with SAS Decision Manager Lasse Olsen, SAS Institute Copenhagen
88 En rekord er sat ! Martin Hornskov, SDC Copenhagen
89 Udrulning af SAS® Visual Analytics som en serviceydelse Anders Stokvad, Telia Company Copenhagen
90 Finding out about formats and their attributes Barbara Biørn Olsen, SAS Institute Copenhagen
91 The DATA Step Debugger and other news in SAS® Enterprise Guide® Barbara Biørn Olsen, SAS Institute Copenhagen
92 Introduktion til Visual Data Mining og Machine Learning Astrid Vestergård, SAS Institute Copenhagen
93 The future of the SAS® Platform – SAS®9 & SAS® Viya™ Gert Nissen, SAS Institute Copenhagen
94 New releases of SAS® Data Management Gert Nissen & Lasse Olsen, SAS Institute Copenhagen
95 Har du en Disaster Recovery Plan i din SAS-miljö? Alexander Danielsson, SAS Institute Stockholm
96 SAS® Viya - Architecture Börje Edlund, SAS Institute Stockholm
97 Decorative Infographics Using SAS® Daniel Ringqvist, SAS Institute Stockholm
98 Primärvårdskvalitet - ett stöd för kvalitetsarbete inom primärvården Robert Sarkadi Kristiansson, Mats Norman, Dimitra Rentouka & Jan von Knorring, Region Uppsala Stockholm
99 SAS Viya and Openness – a walkthrough of the LUA, Java, Python and REST Interfaces to SAS® Viya™ Jonas Wetterberg, SAS Institute Stockholm
100 Vinnaren av Hack in SAS - Ray Cruncher – ett resultat av Forefronts Innovation Labs Karl Söderlund & Maria Ravegård, Forefront Consulting Group AB Stockholm
101 Datastegsprogrammering i SAS® Viya™ Sofie Alfthan, SAS Institute Stockholm
102 The analytical life in Hadoop Joel Jönsson & Mathias Lanner, SAS Institute Stockholm
103 Libname JSON - Enrich your data with everything that Internet has to offer Joel Jönsson, SAS Institute Stockholm
104 SAS <3 R Jimmy Fondin, SAS Institute Stockholm
105 Scaling your apps with SAS Grid! Muhammad Asif Abbasi, SAS Institute Copenhagen
106 EU GDPR Ebba Björklund, KnowIT & Daniel Lindborg, SAS Institute Stockholm